
1001 - 5000 employees
Founded 1979
đ Manufacturing
đŚ Logistics
đ˝ď¸ Food & Beverage
Manufacturing ⢠Logistics ⢠Food & Beverage
QAD is a company specializing in enterprise resource planning and industrial transformation solutions. Their Adaptive Enterprise platform helps businesses optimize processes, align people with technology, and manage critical business challenges. QAD's offerings include software for manufacturing, inventory management, supply chain planning, quality management, and global trade compliance. Their solutions serve a range of industries, including automotive, consumer products, food and beverage, industrial manufacturing, and more. The company focuses on becoming an adaptive enterprise by integrating advanced scheduling and data-driven insights.
đ June 24
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1001 - 5000 employees
Founded 1979
đ Manufacturing
đŚ Logistics
đ˝ď¸ Food & Beverage
Manufacturing ⢠Logistics ⢠Food & Beverage
QAD is a company specializing in enterprise resource planning and industrial transformation solutions. Their Adaptive Enterprise platform helps businesses optimize processes, align people with technology, and manage critical business challenges. QAD's offerings include software for manufacturing, inventory management, supply chain planning, quality management, and global trade compliance. Their solutions serve a range of industries, including automotive, consumer products, food and beverage, industrial manufacturing, and more. The company focuses on becoming an adaptive enterprise by integrating advanced scheduling and data-driven insights.
⢠Build and ship features across the Champion platform repositories ⢠Improve developer experience in tooling, documentation, and onboarding ⢠Maintain and evolve the MCP tool server ⢠Support BU Applied AI engineers in building and deploying Champions ⢠Review agent implementations and contribute to internal engineering guides ⢠Design and build Champion agents for use-cases when needed ⢠Write and iterate on system prompts and context injection ⢠Follow trunk-based development with PR-gated merges and write tests before implementing
⢠Proficient in async Python, Pydantic, type hints, and FastAPI. ⢠Experience with the Strands agent SDK or a comparable agentic framework. ⢠Comfortable with pytest, pytest-asyncio, and DeepEval for agent-specific evaluation. ⢠Able to write and iterate on production system prompts: XML-structured, scope-enforced, with tool descriptions. ⢠Solid understanding of Model Context Protocol (MCP) with hands-on experience. ⢠Familiar with multi-agent architectures and orchestration patterns beyond basic ReAct. ⢠Able to design and run evaluation suites for agent behavior. ⢠Comfortable authoring Dockerfiles and using Docker for local dev environments. ⢠Familiar with PostgreSQL templated queries. ⢠Follows conventional commit format and a PR-based trunk workflow.
⢠Health insurance ⢠Flexible working arrangements ⢠Professional development opportunities ⢠Equipment allowances
Apply Nowđ June 22
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TypeScript
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đŁď¸đŞđ¸ Spanish Required
Python
React
TypeScript
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đŁď¸đŞđ¸ Spanish Required